Online at lunch time on Crowdcast

• Upcoming events
• Past events
• More events and resources

Many of the events use a Jupyter notebook to go through example code. We will mainly use Watson Studio to run these, but you can run them on any platform. To follow along in Watson Studio sign up for a free IBM Cloud account and create a Watson Studio service as described in these instructions.

• We are busy planning new events and creating new content and material. Suggestions on topics and speakers are always welcome! Let us know by creating an issue in this repo

• Trusted AI - learn about fairness and explainability
• Data exploration with Python - series using various datasets
• Deep learning series

• Presenter: Damiaan Zwietering - twitter
• Find all notebooks in this repo
• Replay

• Presenter: Yamini Rao
• Replay
• Slides and Jupyter notebook

• Presenter: Ed Shee
• Replay
• Slides and Jupyter notebook

• Presenter: Gregory Bramble (AutoAI Architecture)
• Replay

• Presenter: Ed Shee
• Replay
• Slides, notebook and data

• Presenter: Romeo Kienzler
• Replay
• Repo with material used
• Gym from OpenAI

• Presenter: Mridul Bhandari - twitter / linkedIn
• Replay
• Notebook: https://raw.githubusercontent.com/mridulrb/Predict-loan-eligibility-using-IBM-Watson-Studio/master/loan-eligibility.ipynb
• Repo and data
• Blog and tutorial

• Presenter: Fawaz Siddiqi - twitter / linkedIn
• Replay
• Slides
• Handson material

• Presenter: Damiaan Zwietering - twitter
• Find all notebooks in this repo
• 21 Sept 2020: Exploring COVID data with pandas (Replay)
• 5 Oct 2020: Modeling COVID data (Replay)
• 19 Oct 2020: Fitting the COVID curves (Replay)
• 2 Nov 2020: Mapping COVID projections (Replay)
• 16 Nov 2020: AMA with Damiaan (Replay)

• Presenter: Patrick Titzler - twitter / LinkedIn
• Replay
• Slides and resources
• Elyra docs
• Blog

• Presenter: Yamini Rao
• Replay
• Notebook: https://github.com/IBMDeveloperUK/Data-Science-Lunch-and-Learn/blob/master/notebooks/Classification_models.ipynb

• Presenter: Margriet Groenendijk
• Replay
• Notebook: https://github.com/IBMDeveloperUK/Data-Science-Lunch-and-Learn/blob/master/notebooks/20-10-12-getting-started-sklearn.ipynb

• Presenter: Margriet Groenendijk
• Replay
• Notebook: https://github.com/IBMDeveloperUK/Data-Science-Lunch-and-Learn/blob/master/notebooks/bias-in-crime-data-1-v0.ipynb

The ultimate goal of this challenge is to predict the area of wildfires in 7 regions in Australia for February 2021 with historical wildfire and both historical and forecast weather data, so you will be predicting fires before they happened! The final submissions were on 31 January 2021.

• Landing page - http://ibm.biz/cfcsc-wildfires
• GitHub repo - https://github.com/Call-for-Code/Spot-Challenge-Wildfires
• Leaderboard - http://ibm.biz/cfcsc-wildfires-lead
• Slack workspace - http://callforcode.org/slack Channel #cfcsc-wildfires